Triple
T2014565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kilchberg Cemetery |
E43764
|
entity |
| Predicate | hasGraveOf |
P196
|
FINISHED |
| Object | Carla Mann |
E131780
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Carla Mann | Statement: [Kilchberg Cemetery, hasGraveOf, Carla Mann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carla Mann Context triple: [Kilchberg Cemetery, hasGraveOf, Carla Mann]
-
A.
Carla Mann
chosen
Carla Mann was a German actress and the sister of Nobel Prize–winning author Thomas Mann.
-
B.
Carla Sinclair
Carla Sinclair is an American writer and editor best known as a co-founder of the influential technology and culture blog Boing Boing.
-
C.
Carol Stevens
Carol Stevens is best known as one of the former wives of American novelist and journalist Norman Mailer.
-
D.
Joanne Horton
Joanne Horton was the wife of H. R. Haldeman, a prominent aide to U.S. President Richard Nixon during the Watergate era.
-
E.
Nancy Carlson
Nancy Carlson is known as the wife of World Wide Web inventor Sir Tim Berners-Lee.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a88716e9f08190946313fdc949e3cf |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb8b610a88190bc10fd7dda19da08 |
completed | March 7, 2026, 5:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae304aa0888190a725234d8e527ac5 |
completed | March 9, 2026, 2:28 a.m. |
Created at: March 4, 2026, 7:37 p.m.